Pure Cycle Corp (PCYO) Accumulated Depreciation (2017 - 2026)
Pure Cycle's Accumulated Depreciation was $6.52 million in fiscal Q3 2021 (quarter ended May 31, 2021), up 28.4% from $5.08 million a year earlier and up 5.8% from the prior quarter.
Pure Cycle Corp (PCYO) Accumulated Depreciation (2017 - 2026) Analysis & Trends
At the end of FY2020 (ended Aug 31, 2020), Accumulated Depreciation at Pure Cycle came in at $5.45 million, up 34.3% from FY2019.
- Accumulated Depreciation has now increased for three consecutive fiscal years, with a three-year compound annual growth rate of 33.7% (FY2017 to FY2020).
- In earlier fiscal years, Accumulated Depreciation was $4.06 million in FY2019 (+34.6%), $3.01 million in FY2018 (+32.0%) and $2.28 million in FY2017.
- The fiscal Q3 2021 figure marks the highest quarterly Accumulated Depreciation in data going back to fiscal Q4 2017.
- Compared with a year earlier, Accumulated Depreciation has increased for nine straight quarters, with growth averaging 34.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Accumulated Depreciation ran from 28.4% in fiscal Q3 2021 to 38.9% in fiscal Q3 2020.
- Per Business Quant data, PCYO's Accumulated Depreciation in the three fiscal quarters before Q3 2021 was $6.16 million (Q2 2021), $5.81 million (Q1 2021) and $5.45 million (Q4 2020).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 14.66 Mn |
| Feb 28, 2026 | 14.26 Mn |
| Aug 31, 2025 | 13.47 Mn |
| May 31, 2021 | 6.52 Mn |
| Feb 28, 2021 | 6.16 Mn |
| Nov 30, 2020 | 5.81 Mn |
| Aug 31, 2020 | 5.45 Mn |
| May 31, 2020 | 5.08 Mn |
| Feb 29, 2020 | 4.69 Mn |
| Nov 30, 2019 | 4.29 Mn |
| Aug 31, 2019 | 4.06 Mn |
| May 31, 2019 | 3.65 Mn |
| Feb 28, 2019 | 3.39 Mn |
| Nov 30, 2018 | 3.20 Mn |
| Aug 31, 2018 | 3.01 Mn |
| May 31, 2018 | 2.72 Mn |
| Aug 31, 2017 | 2.28 Mn |
Pure Cycle Corp Accumulated Depreciation API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=accumulated-depreciation&ticker=PCYO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "ticker": "PCYO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-depreciation&ticker=PCYO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();